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GOVERNANCE & TRUST

Operational intelligence.
Business accountability.

AI-assisted work needs boundaries: who can see the data, which tools can run, what needs approval, and how the outcome is recorded. KaziAI includes control services for these decisions.

Define the decision boundary.

Read company context
Prepare an action
Check permissions and policy
Human approval, when required
Record the outcome
CONTROLS IN THE ARCHITECTURE

Build the policy
around the work.

These capabilities exist in the project’s services and policies. Validate the coverage of the actual workflow, tool, and deployment before treating a control as an operational guarantee.

Identity & authorization

Sanctum authentication and role-based resource policies define permitted access and operations.

VALIDATE IN YOUR ROLLOUT

Test ordinary users, reviewers, administrators, and denied actions on the selected request paths.

Company-scoped records

Sessions, knowledge, approvals, and other resources use company ownership checks in their request and policy paths.

VALIDATE IN YOUR ROLLOUT

Exercise cross-company access attempts and verify each enabled resource’s ownership enforcement.

Approval boundaries

Tool policies, dry-run proposals, and approval queues represent work that must wait for a reviewer.

VALIDATE IN YOUR ROLLOUT

Confirm that rejection, timeout, and missing approval cannot proceed to the business action.

Model & content policy

Compliance services include tool rules, model allowlists, content checks, and data-mask configuration.

VALIDATE IN YOUR ROLLOUT

Check what information reaches the model and which policy services are called by the selected workflow.

Audit & request history

Request identifiers, usage logging, audit services, and tool results support inspection of operational activity.

VALIDATE IN YOUR ROLLOUT

Check event coverage, retention, access, and the ability to reconstruct a representative action.

Credentials & integrations

The enterprise connector service encrypts stored credential data and provides company connection and health interfaces.

VALIDATE IN YOUR ROLLOUT

Define secret access, rotation, provider permissions, callback security, and operational monitoring.

DATA BOUNDARIES ARE A DESIGN DECISION

Follow the information.
Then choose the model.

Local serving is one part of a deployment decision. Identity, storage, logging, integrations, and the selected model routes also determine where information goes.

01

Source systems

Identify the records and documents the workflow can access, their owners, and their sensitivity.

02

Business context

Inspect retrieved information, memory, and prompt content before it enters a model request.

03

Permitted inference

Define cloud, local, or hybrid routing based on workload requirements and approved data boundaries.

04

Actions & retention

Verify downstream access, action logging, retained records, and the retention policy for the deployment.

EVIDENCE FOR A PROCUREMENT DECISION

Know what to request
before production.

Review areaEvidence to obtain
Access controlA tested role and company-ownership matrix for the enabled workflows.
Data handlingA documented data map, provider terms, retention policy, and secret-management process.
Operational reliabilityFailure tests, monitoring responsibilities, recovery procedures, and a representative pilot report.
Model behaviorWorkload evaluation results covering outputs, arguments, approvals, and failure cases.
Certifications & legal termsAny independently issued reports, certifications, contractual commitments, or agreements applicable to the deployment.

This website describes the project’s control architecture. It does not claim SOC 2 or ISO certification, a completed security audit, a service-level guarantee, or blanket regulatory compliance.

A PRACTICAL NEXT STEP

Make the controls part of the pilot.

Define the decision owners, permitted data, approval gates, and evidence required for acceptance.

Plan your implementation